Data management and digital transformation are key in the automation of industrial processes today.
In an increasingly competitive and dynamic environment, organizations need to adopt advanced technologies to optimize their operations, improve decision making, and foster innovation.
This course, “Data Management and Digital Transformation in Industrial Process Automation”, focuses on providing the tools and knowledge necessary to effectively manage the data generated in industrial processes, as well as to implement digital transformation strategies that drive efficiency and sustainability. Through case studies and cutting-edge studies, participants will learn how to integrate digital solutions that not only increase productivity, but also enable businesses to quickly adapt to market changes and new consumer demands.
The relevance of this course lies in its ability to prepare professionals to face the challenges of Industry 4.0, thus fostering a smarter and more connected future.
Course background: AI4CI Master
This course is part of the European AI4CI Master Artificial Intelligence for Connected Industries.
The AI4CI Master’s degree is a European Master’s degree offered at the Conservatoire National des Arts et Métiers (CNAM), Paris, France; Cnam Grand Est (CGE), Mulhouse, France; and the National Technical University of Ukraine (NTUU), Kiev, Ukraine; and, from the next academic year, at the University of Ulm, Ulm, Germany; the University Babeș-Bolyai (UBB), Cluj-Napoca, Romania; the University of Avignon, Avignon, France; and the Polytechnic University of Catalonia (UPC), Barcelona, Spain. Master teachers include world-class academics from our European partners and industry experts.
Pedagogical Objectives
- Explain the different layers that can coexist in IoT architectures in the industrial environment.
- Know the main existing hardware solutions for data capture.
- Know the main wireless communication technologies that can be found in the Industrial IoT.
- Know the possible functionalities offered by data integration platforms.
Topics
- Industry 4.0
- Main sources of Industrial IoT information
- Layers and architectures
- Main protocols of each layer
- Industrial IoT Gateways
- New wireless communication technologies
Prerequisites
- Academic training in fields related to engineering, industrial automation, computing, information technology or related disciplines.
- Basic knowledge of industrial automation principles and industrial processes may be required. Familiarity with concepts of data management, data analysis and digital transformation. Experience in the field of industrial automation or industrial data management may be beneficial.
Target audience
This course is designed for industrial automation professionals who want to update their knowledge on current possibilities and future trends. However, junior professionals or students with basic knowledge on data management and digital transformation can also apply.
Practical details
Dates: 20-24 January 2025
Monday, Tuesday and Friday: 8:00 to 18:00 CET. Thursday: 8:00 to 9:30 CET (duration 25h).
This is followed by an evaluation assignment (self-paced, approx. 48h).
Modalities: Hybrid: either online or onsite at ITCL, free of choice.
Registration fees: Professional Industrial Technician: EUR 990
University students: EUR 650
Certification: ITCL will issue a certificate referring to the international master’s degree AI4CI – European Master Artificial Intelligence for Connected Industries.
Source: European Digital Skills & Jobs Platform
